Mac17,9
Geekbench AI Score
4990
Single Precision Score
45111
Half Precision Score
60226
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 19 2026 09:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
21378
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
26182
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26272
425.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
37218
603.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10432
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
184074
214.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
340440
399.0 IPS |
|
|
Object Detection (SP)
|
100% |
2806
222.6 IPS |
|
|
Object Detection (HP)
|
100% |
23667
1.88 KIPS |
|
|
Object Detection (Q)
|
91% |
28515
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
5149
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
49937
593.4 IPS |
|
|
Face Detection (Q)
|
100% |
69700
828.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9349
72.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
138882
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
211951
1.66 KIPS |
|
|
Style Transfer (SP)
|
100% |
26941
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
287877
370.1 IPS |
|
|
Style Transfer (Q)
|
96% |
399271
515.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66204
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105770
3.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
19531
336.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19472
336.5 IPS |
